Scalable Collaborative Ranking for Personalized Prediction

Mathematics

• Ranking 98%
• Prediction 77%
• Pairwise 42%
• Query 31%
• Predict 30%
• Collaborative Filtering 27%
• Recommender Systems 26%
• Ranking Function 23%
• Parallel Computing 20%
• Factor Models 20%
• Surrogate 19%
• Scoring 19%
• Convex Programming 18%
• Diverge 18%
• Optimise 16%
• Filtering 16%
• Error Bounds 14%
• Sample Size 12%
• Rate of Convergence 12%
• Strategy 11%
• Upper bound 10%
• Demonstrate 9%
• Framework 9%
• Zero 8%
• Model 5%

Business & Economics

• Ranking 100%
• Prediction 79%
• Query 35%
• Parallel Computing 26%
• Ranking Function 25%
• Latent Factor Models 25%
• Error Bounds 23%
• Collaborative Filtering 23%
• Sample Size 22%
• Recommender Systems 21%
• Limited Information 18%
• Scoring 17%
• Upper Bound 16%
• Programming 15%
• Rating 15%
• Competitors 12%